{"uid":"cap_rAauNzv_Uugn4CDuaP18B","slug":"data-validation-results-grouped-numeric-summary-59629d33","name":"Data Validation Results – Grouped Numeric Summary","description":"Data validation results - Grouped numeric summary: Grouped numeric summary for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded grouped numeric summary report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-group-summary?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","rule","date","checked_records","failed_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"rule":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"failed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","rule":"group-a","row_id":"row-1","failed_records":1,"checked_records":10},{"date":"2026-10-02","rule":"group-b","row_id":"row-2","failed_records":2,"checked_records":20},{"date":"2026-10-03","rule":"group-a","row_id":"row-3","failed_records":3,"checked_records":15},{"date":"2026-10-04","rule":"group-b","row_id":"row-4","failed_records":4,"checked_records":30}],"maxItems":200,"minItems":1},"field":{"enum":["checked_records","failed_records"],"type":"string","default":"checked_records"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_uoh1gmY0lk-b50-LKQZVQ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a grouped numeric summary (descriptive statistics) over data validation result records, segmented by rule group, date, and selected metric field.","exampleAgentPrompt":"I have a batch of data validation results — can you group them by rule and compute a numeric summary for failed_records? Here are my rows: rule 'group-a' on 2026-10-01 had 1 failed out of 10 checked, rule 'group-b' on 2026-10-02 had 2 failed out of 20 checked, and rule 'group-a' on 2026-10-03 had 3 failed out of 15 checked.","exampleUseCases":[{"title":"Daily QA pipeline failure breakdown","prompt":"I ran my data quality checks today across two rule groups — 'null_check' had 5 failures out of 100 records on 2026-11-01, and 'range_check' had 12 failures out of 80 records. Can you group these by rule and give me a numeric summary for failed_records so I can see which rule is hurting most?"},{"title":"Monitoring checked record volume by rule","prompt":"I want to see descriptive stats on how many records are being checked across my validation rules over the past week. Here are 8 rows of daily validation results — group them by rule and summarize the checked_records field."},{"title":"Audit report for data pipeline compliance","prompt":"Our compliance team needs a grouped summary of validation results from last month's pipeline run. I have about 50 records with rule names, dates, and failed/checked counts — can you group them by rule and compute the numeric summary for failed_records so we can include it in the audit report?"}],"resultDescription":"Returns a grouped numeric summary report containing descriptive statistics (e.g. count, min, max, mean, sum) for the selected numeric field (checked_records or failed_records), segmented by the rule group present in the input rows.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Non-numeric values in checked_records or failed_records where numbers are expected","field enum value not one of 'checked_records' or 'failed_records' causes rejection","row_id missing or empty string triggers required field validation error"],"whenToPreferThis":"Use this endpoint when you have up to 200 typed data validation result records and need a quick grouped descriptive analytics report broken down by rule. It requires no external enrichment or forecasting — purely local statistical aggregation. Ideal for QA pipeline monitoring, compliance auditing, or surfacing which validation rules are generating the most failures, at a low flat cost of $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:02:00.719Z","isFirstParty":false,"canonicalSlug":"data-validation-results-grouped-numeric-summary-59629d33"}